def like(word='大纲'):
    doc_name_regex = f'.*{word}.*'
    return {'$regex': doc_name_regex}
# {"doc_file_path":"/.*C01104大数据技术概.*/"}
translate="translate"
imageUrl='imageUrl'
gt='$gt'
toDouble='$toDouble'
apiUrlMap='apiUrlMap'
distinct='distinct'
mysqlTestLog='mysqlTestLog'
mappingConf='mappingConf'
columnLabel='columnLabel'
apiKeyFind='apiKeyFind'
columnName='columnName'
apiKey_find='apiKey_find'
apiName='apiName'
# columnLabel='columnLabel'
host='host'


sparkles="sparkles"
bug='bug'
pencil='pencil'
art="art"
recycle="recycle"
sparkles="sparkles"

white_check_mark="white_check_mark"
package='package'
arrow_up='arrow_up'
lipstick="lipstick"
green_heart="green_heart"
loud_sound="loud_sound"
mute="mute"
label='label'
arrow_up='arrow_up'
see_no_evil="see_no_evil"
wrench="wrench"
speech_balloon="speech_balloon"
fire="fire"



ZYMC_1_20='ZYMC_1_20'

CHARACTER_MAXIMUM_LENGTH = "CHARACTER_MAXIMUM_LENGTH" 
CHARACTER_OCTET_LENGTH = "CHARACTER_OCTET_LENGTH" 
CHARACTER_SET_NAME = "CHARACTER_SET_NAME"
COLLATION_NAME = "COLLATION_NAME"
COLUMN_COMMENT = "COLUMN_COMMENT"
COLUMN_DEFAULT = "COLUMN_DEFAULT"
COLUMN_KEY = "COLUMN_KEY"
COLUMN_NAME = "COLUMN_NAME"
COLUMN_TYPE = "COLUMN_TYPE"
DATA_TYPE = "DATA_TYPE"
DATETIME_PRECISION = "DATETIME_PRECISION"
EXTRA = "EXTRA"
GENERATION_EXPRESSION = "GENERATION_EXPRESSION"
IS_GENERATED = "IS_GENERATED"
IS_NULLABLE = "IS_NULLABLE"
NUMERIC_PRECISION = "NUMERIC_PRECISION"
NUMERIC_SCALE = "NUMERIC_SCALE"
ORDINAL_POSITION = "ORDINAL_POSITION"
PRIVILEGES = "PRIVILEGES"
TABLE_CATALOG = "TABLE_CATALOG"
TABLE_NAME = "TABLE_NAME"
TABLE_SCHEMA = "TABLE_SCHEMA"


paper_score  = "paper_score"
left  = "left"
receive_user_id  = "receive_user_id"
send_real_name  = "send_real_name"
product_name  = "product_name"
last_modify_time  = "last_modify_time"
ipaddr  = "ipaddr"
receive_real_name  = "receive_real_name"
keywords  = "keywords"
professional_class  = "professional_class"
paper_type  = "paper_type"
g6_tree  = "g6_tree"
rolename  = "rolename"
draw_id  = "draw_id"
level_name  = "level_name"
create_user_name  = "create_user_name"
email  = "email"
do_right  = "do_right"
frame_text_content_id  = "frame_text_content_id"
enabled  = "enabled"
component_name  = "component_name"
is_deleted  = "is_deleted"
dept_name  = "dept_name"
video_link  = "video_link"
password  = "password"
grade_level  = "grade_level"
question_id  = "question_id"
limit_end_time  = "limit_end_time"
user_uuid  = "user_uuid"
suggest_time  = "suggest_time"
name  = "name"
title  = "title"
image_path  = "image_path"
draw_io  = "draw_io"
update_user_id  = "update_user_id"
correct  = "correct"
exam_paper_id  = "exam_paper_id"
subject_name  = "subject_name"
real_name  = "real_name"
system_score  = "system_score"
score  = "score"
fan_size  = "fan_size"
user_level  = "user_level"
job_link  = "job_link"
top  = "top"
create_user  = "create_user"
exam_paper_answer_id  = "exam_paper_answer_id"
enable_mark  = "enable_mark"
phone  = "phone"
memo  = "memo"
status  = "status"
student_status  = "student_status"
start_timestamp  = "start_timestamp"
cnname  = "cnname"
customer_score  = "customer_score"
id  = "id"
modify_time  = "modify_time"
task_exam_id  = "task_exam_id"
content  = "content"
do_time  = "do_time"
read_time  = "read_time"
question_text_content_id  = "question_text_content_id"
create_time  = "create_time"
node_draw  = "node_draw"
idx  = "idx"
cos_ans_similarity  = "cos_ans_similarity"
big_node_draw  = "big_node_draw"
tenant_id  = "tenant_id"
create_user_id  = "create_user_id"
chapter_id  = "chapter_id"
amount  = "amount"
follow_size  = "follow_size"
deleted  = "deleted"
is_friend  = "is_friend"
test_time  = "test_time"
mobile  = "mobile"
left_eyesight  = "left_eyesight"
send_user_id  = "send_user_id"
question_correct  = "question_correct"
full_name  = "full_name"
order_date  = "order_date"
expire_time  = "expire_time"
message_id  = "message_id"
read_count  = "read_count"
end_time  = "end_time"
question_score  = "question_score"
paper_name  = "paper_name"
age  = "age"
width  = "width"
type  = "type"
user_code  = "user_code"
icon  = "icon"
gender  = "gender"
receive_user_count  = "receive_user_count"
os  = "os"
info_text_content_id  = "info_text_content_id"
role  = "role"
comment  = "comment"
validata_code  = "validata_code"
user_name  = "user_name"
student_id  = "student_id"
receive_user_name  = "receive_user_name"
readed  = "readed"
token  = "token"
item_order  = "item_order"
difficult  = "difficult"
question_type  = "question_type"
sessionId  = "sessionId"
user_score  = "user_score"
text_content_id  = "text_content_id"
send_user_name  = "send_user_name"
login_location  = "login_location"
question_count  = "question_count"
out_date  = "out_date"
user_id  = "user_id"
login_name  = "login_name"
right_eyesight  = "right_eyesight"
last_active_time  = "last_active_time"
depart_name  = "depart_name"
wx_open_id  = "wx_open_id"
height  = "height"
device_name  = "device_name"
birth_day  = "birth_day"
limit_start_time  = "limit_start_time"
user_sex  = "user_sex"
device_id  = "device_id"
depart_id  = "depart_id"
browser  = "browser"
subject_id  = "subject_id"
update_time  = "update_time"
avatar  = "avatar"
total_score  = "total_score"
last_access_time  = "last_access_time"
level  = "level"
username  = "username"
grade  = "grade"
sex  = "sex"
answer  = "answer"
college  = "college"




desc='desc'
asc='asc'
port='port'
db_name='db_name'
day_of_week='day_of_week'
password='password'
username='username'
ques='ques'
question='question'
modelVersionId='modelVersionId'
url='url'
time_sleep_sec='time_sleep_sec'
eng="eng"
large_file_log='large_file_log'
crawled_ids='crawled_ids'
crawler_err='crawler_err'
data='data'
err_log='err_log'
kaggle_working_dir='/kaggle/working'
job='job'
approve_list='approve_list'
apiKey='apiKey'
modelId='modelId'
zucc_data='zucc_data'
colList='colList'
limit='limit'
offset='offset'
group='$group'
_id='_id'
afterCoupon='afterCoupon'
page='page'
afterCouponNum='afterCouponNum'
civitai_crawler='civitai_crawler'
huggingface='huggingface'
huggingface_crawled_ids='huggingface_crawled_ids'
huggingface_crawler_err='huggingface_crawler_err'
civitai_img_download='civitai_img_download'
civitai_img='civitai_img'
civitai_img_err='civitai_img_err'
civitai_crawler_err='civitai_crawler_err'
creators_civitai_get_err='creators_civitai_get_err'
creators_civitai_get_pages='creators_civitai_get_pages'
creators_civitai_get='creators_civitai_get'
civitai_crawled_ids='civitai_crawled_ids'
match='$match'
expr='$expr'
github_stats_contributors_err='github_stats_contributors_err'
github_stats_contributors='github_stats_contributors'
itemName="itemName"
github_search='github_search'
use_log='use_log'
# {'$regex': '.*C01104大数据技术概.*'}
# {"doc_file_path":{'$regex': '.*C01104大数据技术概.*'}}
if __name__=="__main__":
    print(like('大纲'))